Search alternatives:
significant linear » significant clinical (Expand Search), significant level (Expand Search), significant gender (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant linear » significant clinical (Expand Search), significant level (Expand Search), significant gender (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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The number of gauging cross-sections where a statistically significant decreasing trend was identified.
Published 2024“…<p>The number of gauging cross-sections where a statistically significant decreasing trend was identified.…”
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Datasheet1_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf
Published 2023“…In addition, feeling of hypoglycemia was more frequent in the patients with decreased HbA1c.</p>…”
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Datasheet2_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf
Published 2023“…In addition, feeling of hypoglycemia was more frequent in the patients with decreased HbA1c.</p>…”
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Tunable Actuation of Humidity-Driven Artificial Muscles via Graphene Nanofillers
Published 2022Subjects: -
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Tunable Actuation of Humidity-Driven Artificial Muscles via Graphene Nanofillers
Published 2022Subjects: -
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STL Linear Combination Forecast Graph.
Published 2025“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”
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